@inproceedings{alhama-etal-2021-retrodiction,
    title = "Retrodiction as Delayed Recurrence: the Case of Adjectives in {I}talian and {E}nglish",
    author = "Alhama, Raquel G.  and
      Zermiani, Francesca  and
      Khaliq, Atiqah",
    editor = "Rahimi, Afshin  and
      Lane, William  and
      Zuccon, Guido",
    booktitle = "Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association",
    month = dec,
    year = "2021",
    address = "Online",
    publisher = "Australasian Language Technology Association",
    url = "https://preview.aclanthology.org/fix-sig-urls/2021.alta-1.17/",
    pages = "163--168",
    abstract = "We address the question of how to account for both forward and backward dependencies in an online processing account of human language acquisition. We focus on descriptive adjectives in English and Italian, and show that the acquisition of adjectives in these languages likely relies on tracking both forward and backward regularities. Our simulations confirm that forward-predicting models like standard Recurrent Neural Networks (RNN) cannot account for this phenomenon due to the lack of backward prediction, but the addition of a small delay (as proposed in Turek et al., 2019) endows the RNN with the ability to not only predict but also retrodict."
}